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Google Analytics 4 MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Batch Run Reports, Check Compatibility, Get Conversions, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Google Analytics 4 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this App Connector for OpenAI Agents SDK

The Google Analytics 4 app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Google Analytics 4 Assistant",
            instructions=(
                "You help users interact with Google Analytics 4. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Google Analytics 4"
        )
        print(result.final_output)

asyncio.run(main())
Google Analytics 4
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Google Analytics 4 MCP Server

Connect your Google Analytics 4 property to any AI agent and access web analytics through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Google Analytics 4 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Google Analytics 4, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Custom Reports — Run fully customizable GA4 reports with any combination of dimensions, metrics, and date ranges
  • Real-Time Analytics — Monitor active users and current page views in real time
  • Page Performance — Retrieve the top 25 pages ranked by views for any time period
  • Traffic Sources — Analyze session sources and mediums to understand where visitors come from
  • User Demographics — View user distribution by country for geographic insights
  • Device Breakdown — See user distribution across desktop, mobile, and tablet
  • Conversions — Track conversion events with counts and revenue data
  • Advanced Reporting — Run pivot reports and batch multiple reports in a single request
  • Metadata & Compatibility — List all available dimensions and metrics, and verify compatibility before building reports

The Google Analytics 4 MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Google Analytics 4 tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Google Analytics 4 through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, event-tracking, conversion-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

batch_run_reports

Batch run reports

check_compatibility

Check report compatibility

get_conversions

Get conversions

get_device_breakdown

Get device breakdown

get_metadata

Get available dimensions and metrics

get_page_views

Get top pages by views

get_traffic_sources

Get traffic sources

get_user_demographics

Get user demographics

list_audience_exports

List audience exports

run_pivot_report

Run pivot report

run_realtime_report

Run realtime report

run_report

Data JSON must include dateRanges, dimensions, and metrics arrays. Run a custom report

Connect Google Analytics 4 to OpenAI Agents SDK via MCP

Follow these steps to wire Google Analytics 4 into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Google Analytics 4

Why Use OpenAI Agents SDK with the Google Analytics 4 MCP Server

OpenAI Agents SDK provides unique advantages when paired with Google Analytics 4 through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Google Analytics 4 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Google Analytics 4 MCP Server delivers measurable value.

01

Automated workflows: build agents that query Google Analytics 4, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Google Analytics 4, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Google Analytics 4 tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Google Analytics 4 to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Google Analytics 4 in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Google Analytics 4 immediately.

01

"Show me the top 10 pages by views this month and where the traffic is coming from."

02

"How many conversions did we get this week and which pages drove them?"

03

"What devices are our users on and which countries are generating the most traffic?"

Troubleshooting Google Analytics 4 MCP Server with OpenAI Agents SDK

Common issues when connecting Google Analytics 4 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Google Analytics 4 + OpenAI Agents SDK FAQ

Common questions about integrating Google Analytics 4 MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.